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Object Detection for Vehicles with Yolo:

, In: 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI),

Maleki, Pouria ; Ramazani, Abbas ; Khotanlou, Hassan... - p. 000343-000350 , 2024

Link: https://doi.org/10.1109/SAMI60510.2024.10432884

RT 
T1 <cTitle>2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI)</cTitle>: T1 <Title>Object Detection for Vehicles with Yolo</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10432884&Exemplar=1&LAN=DE
				
A1 Maleki, Pouria
A1 Ramazani, Abbas
A1 Khotanlou, Hassan
A1 Ojaghi, Sina
A1 Mousavi, Milad
A1 Kalinin, Alexey
A1 Mosavi, Amir
YR 2024
SN 2767-9438
K1 Training
K1 YOLO
K1 Transportation
K1 Artificial neural networks
K1 Traffic control
K1 Distance measurement
K1 Automobiles
K1 Vehicle dataset
K1 deep neural network
K1 object detection
K1 traffic management
K1 urban traffic
K1 emergency vehicles
K1 traffic control
K1 deep learning
K1 machine learning
K1 artificial intelligence
K1 AI
K1 big data
K1 data science
K1 soft computing
K1 applied mathematics
K1 XAI
K1 explainable machine learning
SP 000343
OP 000350
LK http://dx.doi.org/https://doi.org/10.1109/SAMI60510.2024.10432884
DO https://doi.org/10.1109/SAMI60510.2024.10432884
SF ELIB - SuUB Bremen

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